Fast Lateral Amorphous-Selenium Metal–Semiconductor–Metal Photodetector With High Blue-to-Ultraviolet Responsivity
Bibliographic record
Abstract
A lateral metal–semiconductor–metal (MSM) photodetector with a layer of thin amorphous selenium (a-Se) is investigated to detect visible photons. A comparative study on detectors with different a-Se thicknesses is conducted. The thinner detector tends to have better optoelectronic performance, having a low dark current in the range of 40–180 fA under various lateral biases over 1000 s, high responsivity up to$\sim$0.45 A/W toward a short wavelength of 468 nm, and high speed of photoresponse up to 2 kHz with signal rise time of 50$\mu\hbox{s}$and fall time of 60$\mu\hbox{s}$. The fast lateral a-Se MSM photodetector thus has enormous potential to be used in a variety of optical sensing applications, particularly in large-area digital indirect-conversion X-ray imaging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".